stbl_clinical_bert_ft

ericntay/stbl_clinical_bert_ft

stbl_clinical_bert_ft is a token classification model from ericntay. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 31, 2022
Updated: Aug 31, 2022
SHA: b118ba68

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Model card

From the Hugging Face model README

stbl_clinical_bert_ft

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1789
F1: 0.8523

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2786	1.0	95	0.1083	0.8090
0.0654	2.0	190	0.1005	0.8475
0.0299	3.0	285	0.1207	0.8481
0.0146	4.0	380	0.1432	0.8454
0.0088	5.0	475	0.1362	0.8475
0.0056	6.0	570	0.1527	0.8518
0.0037	7.0	665	0.1617	0.8519
0.0022	8.0	760	0.1726	0.8495
0.0018	9.0	855	0.1743	0.8527
0.0014	10.0	950	0.1750	0.8463
0.0014	11.0	1045	0.1775	0.8522
0.001	12.0	1140	0.1789	0.8523

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Aug 31, 2022
Updated: Aug 31, 2022